François Duval

商品描述

Free Kindle eBook for customers who purchase the print book from Amazon

Are you thinking of learning more about Deep Learning without Maths?

This book has been written in layman's terms as an introduction to deep learning and neural networks and their algorithms. Each algorithm is explained very easily for more understanding.

Several Visual Illustrations and Examples

Instead of tough math formulas, this book contains several graphs and images which detail all algorithms and their applications in all area of the real life.

Why this book is different ?

This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice.

This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms.

Target Users

The book designed for a variety of target audiences. The most suitable users would include:

Beginners who want to approach deep learning, but are too afraid of complex math to start

Newbies in computer science techniques and deep learning

Professionals in data science and social sciences

Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way

Students and academicians, especially those focusing on neural networks and deep learning